• 
  Shiro Usui, Takashi Omori (Eds.): The Fifth International Conference on Neural Information Processing, ICONIP'R98, Kitakyushu, Japan, October 21-23, 1998, Proceedings. IOA Press 1998

Opening Lecture

• 
  Masao Ito: Future Perspectives and Challenges of Neuroscience. 1

Keynote Lecture 1

• 
  Semir Zeki, A. Bartels: The Theory of Multi-Stage Integration in the Visual Brain. 3-4

Special Panel 1: The 21st Century of the Brain

• 
  Shun-ichi Amari: Future Perspective of 'Creating Brain' Program. 7
• 
  Rolf Eckmiller: Strategic, Scientific, and Financial Aspects of Neuroscience and Neurotechnology in the 21st Century. 8
• 
  Aike Guo: Thinking in Brain Complexity. 8-9
• 
  Gen Matsumoto: The Brain and Brainway Computer. 9
• 
  Lei Xu: The Role of Statistical Theory in the Future Research on Brain-like Systems. 9-10
• 
  Robert Hecht-Nielsen: Cortronic Neural Network Models of Cortical Function. 11
• 
  Harold Szu: Barin-Style Information Processing in the Next Century - Pro & Con in Supervised versus Unsupervised Learnings. 11-12
• 
  Jacek M. Zurada: From Chaos to Organization: Neurodynamics of 2D Active Medium. 12
• 
  Nikola Kasabov: Evolving Connectionist Systems and Evolving Brains. 12-13
• 
  Soo-Young Lee: Braintech'21: Korean Proposal for Creating Artificial Brains from Hint. 13-17

Dynamic Brain 1

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  Gert Hauske: Aspects of Signal Representation in the Brain. 21-22
• 
  José Pedro Segundo, Ruben Budelli, Rafael Saa, Leonel Gómez, Michael Stiber: Single Neurons with Many Weak Presynaptic Terminals: Coding, Uncertainty and Information. 23-26
• 
  André Longtin: Firing Dynamics of Electroreceptors. 27-30
• 
  Tomoki Fukai, Seinichi Kanemura: Synchrony with Depressive Synapses under Temporally-Fluctuating Stimulus Spikes. 31-34

From Neuroscience / Neural Computation Research to Profitable Products

• 
  Rolf Eckmiller, Steffen Suchert: Strategy for the Foundation of a Neurotechnology Company. 37-39
• 
  Tetsuo Iga, Yoshifumi Arai, Shiro Usui: Trend of a Present Color Management Technology in the Industry. 40-43
• 
  Masanobu Takahashi, Yukio Tanaka, Ken-ichi Tanaka, Kazuo Kyuma, Seiichi Tamai: Pathological Diagnosis Support System Using Neural Networks. 44-47
• 
  Ken-ichi Tanaka, Kazuo Kyuma: Artificial Vision Chip for Industrial Applications. 48-49
• 
  Nils Goerke, V. Ortmann, Rolf Eckmiller: Industrial Applications for an Active Vision System Based on Primate Oculomotion and Neural Computation. 50-52

Statistical & Mathematical Analysis of Networks

• 
  Yoshihiro Mitani, Yoshihiko Hamamoto: A Bootstrap-Based Learning with the Cross Validation. 55-58
• 
  Sumio Watanabe: Inequalities of Generalization Errors for Layered Neural Networks in Bayesian Learning. 59-62
• 
  Jun Rokui, Hiroshi Shimodaira: Improving the Generalization Performance of the Minimum Classification Error Learning and Its Application to Neural Networks. 63-66
• 
  Kenji Fukumizu: Effect of Batch Learning in Multilayer Neural Networks. 67-70
• 
  Wing-kai Lam, Lei Xu: An Experimental Comparison of the Bayesian Ying-Yang Criteria and Cross Validation on Experts Number Selection in Original and Alternative Model for Mixture of Experts. 71-74
• 
  Kuniaki Uto, Yukio Kosugi: Segmented Representation of Approximation Surface. 75-78

Hardware Implementation of Neural Networks

• 
  Yutaka Maeda, Toshiki Tada, Yakichi Tanaka: HDL Design of Pulse Density Neural Network Using Simultaneous Perturbation. 81-84
• 
  Kuninori Nishizawa, Yuzo Hirai: Hardware Implementation of PCA Neural Network. 85-88
• 
  Masahiro Murakawa, Kazuyuki Hiraoka, Tetsuya Higuchi, Tatsumi Furuya, Shuji Yoshizawa: Adaptive Blind Equalization Using Bottleneck Networks Implemented by Evolvable Hardware. 89-92
• 
  Norberto Eiji Nawa, Michael Korkin, Hugo de Garis: Digital Spikes: Information Representation in ATR's CAM-Brain Machine. 93-96
• 
  Romuald Boné, Michel Crucianu, Pascal Makris, Jean Pierre Asselin de Beauville: A Web Oriented Recurrent Neural Network Simulator. 97-100
• 
  Jung-Wook Cho, Soo-Young Lee: Analog Neuro-Chips with On-Chip Learning Capability for Active Noise Canceling. 101-104

Robotics & Control

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  Heidar A. Talebi, Rajnikant V. Patel, Hikmet Asmer: Neural Network based Identification of Flexible-Link Manipulator Dynamics. 107-111
• 
  Masumi Ishikawa, Shinya Kawashima, Naoto Homma: Memory-Based Location Estimation and Navigation Using Bayesian Estimation. 112-117
• 
  Kentaro Mizutani, Takashi Omori: Path Planning of Moving Robot by Discrete State Transition of Associative Memory. 118-122
• 
  Takamasa Koshizen: Orientation Estimation Using Gaussian Mixture Bayes with Regularised EM Algorithm (GMB-REM) for Real Mobile Robot Localisation. 123-126

Brain Imaging in Cognition and Behavior 1

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  Toshiaki Imada, Masaki Kawakatsu, Makoto Kotani: Neuromagnetic Studies on Visual Pattern Processings in the Human Brain. 129-132
• 
  Andreas A. Ioannides: Fundamental Macro-Properties of Brain Activity Revealed by Magnetoencephalography (MEG). 133-138
• 
  Norio Fujimaki, Satoru Miyauchi: Language-Related Neural Activity Measured by Functional Magnetic Resonance Imaging and Magnetoencephalography. 139-142
• 
  Shoogo Ueno: Functional Human Brain Mapping and Imaging by Transcranial Magnetic Stimulation, Magnetoencephalography, and Direct Current MRI. 143-145

Image & Signal Processing

• 
  Zdenek Prochazka, Takayuki Ito, Toshio Okamoto: A New Method for Automated Image Warping Based on a Variational Approach. 149-152
• 
  Yoshihiro Kitaoka, Kiichi Urahama: Monochromatic Visualization of Multimodal Images by Projection Pursuit. 153-156
• 
  Kenji Suzuki, Isao Horiba, Noboru Sugie, Michio Nanki: A Recurrent Neural Filter for Reducing Noise in Medical X-Ray Image Sequences. 157-160
• 
  Dick de Ridder, Robert P. W. Duin, Piet W. Verbeek, Lucas J. van Vliet: On the Application of Neural Networks to Non-Linear Image Processing Tasks. 161-165
• 
  Toshinao Ishii, Kazuo Kyuma: Learning Template in Dynamic Link Matching Neural Network. 166-168
• 
  Dongshik Kang, Sigeru Omatu: Neuro-Classification of the New and Used Bills Using Time-Series Acoustic Data. 169-172

Dynamic Brain 2

• 
  Hiroyuki Ito: Need for Development of Statistical Analysis Tools of Dynamical Neuronal Code -Statistical Evaluation of Joint-PSTH. 175-178
• 
  Leslie M. Kay: System Dynamics and Olfactory Neural Coding. 179-182
• 
  Natsuhiro Ichinose, Kazuyuki Aihara: Detection of Deterministic Correlations between Two Pulse Trains. 183-186
• 
  Wolfgang Maass: Models for Fast Analog Computation with Spiking Neurons. 187-188
• 
  Jousuke Kuroiwa, Shigetoshi Nara, Kazuyuki Aihara: Chaotic Behaviors of a Single Neuron Model for Signal Processing Elements. 189-192

Distributed Processing Systems 1

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  Antanas Verikas, Kerstin Malmqvist, Marija Bacauskiene, Arunas Lipnickas: Soft Fusion of Neural Classifiers. 195-198
• 
  Bao-Liang Lu, Masami Ito: Decomposition and Parallel Learning of Imbalanced Classification Problems by Min-Max Modular Neural Network. 199-202
• 
  Jacek Mandziuk, Lokendra Shastri: Incremental Class Learning Approach and its Application to Handwritten Digit Recognition. 203-206
• 
  N. Rishikesh, Y. V. Venkatesh: Experiments on Three-Dimensional Wire-Frame Object Recognition. 207-210
• 
  John Oersted Wisbeck, Allan Kardec Barros, Renato Garcia Ojeda: Application of ICA in the Separation of Breathing Artifacts in ECG Signal. 211-214
• 
  Mieko Tanaka-Yamawaki: Can Random Generation Measure the Human Brain? 215-218

Neuro Dynamics & Unsupervised Learning

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  Nobuaki Ootake, Kenji Nagasaka: The Composition of Chaos Hopfield Neural Network and Gaussian Machine to the Traveling Salesman Problem. 221-224
• 
  Epifanio Bagarinao, Taishin Nomura, Khashayar Pakdaman, Shunsuke Sato: Learning Dynamical Systems by Neural Networks. 225-228
• 
  Andrew Luk, Sandra Lien: Effects of Sparsely Spaced Clusters on Lotto-Type Competitive Learning. 229-232
• 
  Yasuo Matsuyama, Naoki Takeda, Satoshi Furukawa, Takeshi Niimoto: A Hierarchy from alfa-EM Algorithm to Vector Quantization and Self Organization. 233-238
• 
  Jinwen Ma, Lei Xu: The Correct Convergence of the Rival Penalized Competitive Learning (RPCL) Algorithm. 239-242
• 
  Lei Xu: Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach (VII): Data Smoothing. 243-248

Reinforcement Learning 1

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  Kazuyuki Samejima, Takashi Omori: Adaptive State Space Formation in Reinforcement Learning. 251-255
• 
  Koji Horikawa, Hideki Asoh, Jun Tani, Toshihiro Matsui, Masayoshi Kakikura: Emergence of Expert Modules for Mobile Robot Navigation from a Mixture of Elman Networks. 256-259
• 
  Raju S. Bapi, Kenji Doya: A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning. 260-263
• 
  Shin'ichi Kobayashi, Koji Ito: A Functional Model of Cortico-Basal Ganglia Loop in Motor Control. 264-267
• 
  Ron Sun, Todd Peterson: Automatic Partitioning for Multi-Agent Reinforcement Learning. 268-271

Pattern Recognition

• 
  James N. K. Liu, Raymond S. T. Lee: Invariant Handwritten Chinese Character Recognition. 275-278
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  José Hiroki Saito, Kunihiko Fukushima: Modular Structure of Neocognitron to Pattern Recognition. 279-282
• 
  Yoichi Motomura: Integration of Situated Prior Probability and Neural Network Classifier in a Handwriting Recognition Task. 283-286
• 
  Satoshi Murakami, Masahiko Morita, Naoto Sakamoto: Recognition of Spatiotemporal Patterns Using a Nonmonotone Neural Network with Hidden Neurons. 287-290
• 
  K. C. Jung, C. W. Lee, H. J. Kim: Korean Character Recognition Using a TDNN. 291-294
• 
  Shunji Satoh, Jousuke Kuroiwa, Hirotomo Aso, Shogo Miyake: Recognition of Hand Written Patterns by Rotation-Invariant Neocognitron. 295-299

Early Vision 1

• 
  Harold Szu, Charles Hsu, Takeshi Yamakawa: Progress of Unsupervised Learning of Early Vision. 303-306
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  Takayuki Sugiura, Kazuhiro Sakamoto, Toshihiko Kaku, Masafumi Yano: A Competition between Temporal and Spatial Factors in One-Shot Visual Apparent Motion: Directional Effect. 307-310
• 
  Eizo Ueyama, Hideo Yuasa, Shigeyuki Hosoe, Masami Ito: Figure-Ground Separation from Motion-Subjective Contour and Front Dynamics. 311-314
• 
  Masayuki Kikuchi, Koichi Anada, Kunihiko Fukushima: Neural Network Model Completing Occluded Contour. 315-318
• 
  Tsuyoshi Yamamura, Shin Kobayashi, Isao Horiba, Noboru Sugie, Hiroaki Kudo, Noboru Ohnishi: A Neural Network Model of Dynamical Grouping Process. 319-322

Brain Imaging in Cognition and Behavior 2

• 
  Ryuta Kawashima, Kentaro Inoue, Hiroshi Fukuda: Changes in Cerebral Activity during Visuomotor Learning with Optical Rotation: A Positron Emission Tomography Study. 325-328
• 
  Toshio Iijima, I. Takashima, M. Inase, R. Kajiwara, M. Shinoda, T. Takahashi, K. Tsukada, Hideaki Hirose, K. Niisato: Real-Time Optical Imaging Provides "Dynamic Map of Brain Activity". 329-332
• 
  Mitsuhiro Fukuda, Makoto Nishizaki, Manabu Tanifuji: Functional Structures from Different Components of Intrinsic Signal in Cat Visual Cortex. 333-336
• 
  Hirokazu Koizumi, T. Ochiai, T. Okahashi, Y. Yamashita, A. Maki, T. Yamamoto, Y. Inagami, H. Yoshizawa, M. Iwata, Takashi Omori, Moritoshi Yasunaga: Dynamic Optical Topography and the Real-Time PDP Chip: An Analytical and Synthetical Approach to Higher-Order Brain Functions. 337-340

Image Processing

• 
  Xuequn Li, Irwin King: Noise Removal Based on Classification of Wavelet Coefficients Using Counterpropagation Neural Networks. 343-346
• 
  James Tin-Yau Kwok: Automated Text Categorization Using Support Vector Machine. 347-351
• 
  Kazuhiro Matsui, Yukio Kosugi: Image Segmentation Using Genetic Method to Select Feature Indices. 352-355
• 
  Akito Ohkubo, Marghny H. Mohamed, Koichi Niijima: A Soil Moisture Map Generated from Satellite Data by Using Domains of Attraction in Neural Networks. 356-359
• 
  Márcio L. Gonçalves: A Neural System for the Patterns Recognition of Remote Sensing Images. 360-363
• 
  Sachio Itoh, Shinji Ishiguro, Koichiro Yamauchi, Naohiro Ishii: Face Image Segmentation by Detecting Attentive Regions of Artificial Neural Network. 364-368

Poster Session 1: Vision

• 
  Terunori Mori, Seiji Kurosawa, Miho Matsumaru, Mizuki Matsuura: Generalized Field Effect Method. 371-374
• 
  Nobuaki Hiromitsu, Masanori Idesawa: A Study on the Influence of Intermediate Surface Structure in Depth Perception with Binocular Viewing. 375-378
• 
  Jun Saiki: Binding with and without Attention: a Neural Network Model for Computation of Spatial Relation in Object Perception. 379-382
• 
  Akio Suzuki, Masafumi Yano: A Representation of Form Included Illusory Contours. 383-386
• 
  Yasunari Yoshitomi, Tomohiro Shii, Tetsuro Kitazoe: Fast Calculation Method for Stereoscopic Vision with Pattern Recognition Equation and Image Processing. 387-390
• 
  Tetsuro Kitazoe, Junichi Tomiyama, Yasunari Yoshitomi, Tomohiro Shii: Sequential Stereoscopic Vision and Hysteresis. 391-396
• 
  Naoyuki Sato, Masafumi Yano: A Dynamical Model of Stereopsis to Form 3-D Surfaces. 397-400
• 
  Hiroaki Kudo, M. Umeda, Isao Horiba, Noboru Sugie, Tsuyoshi Yamamura, Noboru Ohnishi: Correspondence Procedure for Recovery of Rigid Structure from Orthographically Projected Optical Flow - A computational Aspect of Kinetic Depth Effect. 401-404
• 
  Katsunari Shibata, Koji Ito: Reconstruction of Visual Sensory Space on the Hidden Layer in Layered Neural Networks. 405-408
• 
  Shotaro Akaho, Yoshiyasu Goto, Takio Kurita, Hiroshi Mizoguchi: Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning. 409-412
• 
  Ken-ichiro Miura, Takashi Nagano, Kenji Kawano: Self-Organizing Model for the Detection of Really Moving Objects. 413-416
• 
  Kiyomi Nakamura, Noriki Kinoshita, Tadataka Yoshikawa: Face Shape and Position Recognition in Two-D Space by Spreading Associative Neural Network. 417-420

Cognitive Systems

• 
  Kiyomi Nakamura, Kakuen Ohzawa, Jinjun Liu, Makoto Yoshida: Learning and Recollection of Human Faces by Association Cortex to Entorhinal-Hippocampal Neural Network Model. 421-424
• 
  Ken Kato, Koichiro Kishi: Simulation Studies on the Effects of Education in Alzheimer's Disease. 425-427
• 
  Hideaki Itoh, Kazuyuki Aihara: For Grasping Brain Architecture. 428-430
• 
  Makoto Ito, Jousuke Kuroiwa, Shogo Miyake: A Model of the Hippocampus - Neocortex for Episodic Memory. 431-434

EEG

• 
  Fang Chen, Jinghua Xu, Fanji Gu, Z. R. Liu, R. Liu: A New Measurement of Complexity for Studying EEG Mutual Information. 435-437
• 
  Eung-Soo Kim, Duk-Yun Cho, You-Jung Lee, Chang-Su Ryu: An Estimation of the Bispectrum for the EEG in Emotional States. 438-441
• 
  Sangbaek Han, Seunghyun Jin, Yeongsu Jeong, Jaeseung Jeong, Dae-Jin Kim, Chang-Hee Kim, Choon-Kil Kim, Soo Yong Kim: Can an Alpha-Induced Stimulator Enhance a Memory Process in the Brain? 442-445
• 
  J. M. Choi, B. H. Bae, S. Y. Kim: A General Relation among Power Spectral Values of the Human Spontaneous EEG. 446-448
• 
  Hyung-Rae Kim, Dae-Jin Kim, Soo Yong Kim, Hyojin Go: Principal Pattern Analysis of Sleep Deprived Human EEG. 449-454
• 
  Jaeseung Jeong, Moo Seong Kim, Soo Yong Kim: Tests for Deterministic Dynamics in EEG. 455-458

Others

• 
  T. N. Macharashvili: Investigation of Nonlinear Structure of Brain Dynamics Assuming a Text as a Time Series. 459-462
• 
  Akira Hirose: Proposal of a Brain-Type System Architecture Based on Self-Organizing Consciousness Using Coherence. 463-466
• 
  Hiroshi Fukuda, Naohiro Fukumura, Masazumi Katayama, Yoji Uno: Object Recognition and Formation of Hand Shape in Human Grasping Movements. 467-470
• 
  Kazunori Miyamoto, Youichi Tsubusaki, Torao Yanaru, Masahiro Nagamatsu: Symbolized Particles Store Type Neuron Model and Its Application to Voiced Signals. 471-473
• 
  Naruki Shirahama, Masahiro Nagamatsu, Torao Yanaru: An Emotion Processing System Based on Subjective Observation. 474-477
• 
  Hualou Liang, Nikos K. Logothetis: Blind Signal Separation with a Flexible Non-Linearity. 478-481
• 
  Hiroshi Wakuya, Katsunori Shida: Reversed Pattern Generation Phenomenon Observed in a Sensorimotor Coordinated System. 482-485

Statistical & Mathematical Analysis of Networks

• 
  Ping Guo: Averaging Ensemble Neural Networks in Parameter Space. 486-489
• 
  Takashi Koshimizu, Masaaki Tsujitani: Probabilistic and Statistical Aspects of Feed-Forward Nonlinear Neural Networks. 490-493
• 
  Takashi Takahashi, Ryuji Tokunaga: Energy Functions for Efficient Nonlinear Dimensionality Reduction by Multi Layer Perceptrons. 494-497
• 
  Michiel C. van Wezel, Walter A. Kosters, Joost N. Kok: Maximum Likelihood Weights for a Linear Ensemble of Regression Neural Networks. 498-501
• 
  Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui: Upper Bounds on the Expected Training Errors of Neural Networks Regressions for a Gaussian Noise. 502-505
• 
  Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: An Improvement of AdaBoost to Avoid Overfitting. 506-509
• 
  Dong-Gyu Jeong, Soo-Young Lee, Soo Yong Kim: Analysis on the Nonlinear Transform of Weighted Sum Errors in Feedforward Neural Networks. 510-513
• 
  Hiroshi Yamakawa: Proposing Matchability Criterion for Situation Decomposition - Extracting Situations each of which Contains a Rule. 514-517

Neuro Dynamics & Unsupervised Learning

• 
  Tohru Nitta: The Stability of the Solution in Fully Connected Neural Networks with the Encouragement Factor. 518-521
• 
  Hongbing Zhu, Mamoru Sasaki, Takahiro Inoue, K. Sugitani: A Proof of Convergence of Asynchronous Boltzmann Machine. 522-525
• 
  Masahiro Nakagawa: A Periodic Chaos Neural Network. 526-529
• 
  Yukito Iba: Mean Field Approximation in Bayesian Variable Selection. 530-533
• 
  Takashi Kuroki, Toshiyuki Tanaka, Masao Taki: Examination of Mean Field Approximation Based on Linear Response Theorem for Boltzmann Machine Learning. 534-537
• 
  Kazuhiro Kojima, Koji Ito: A New Dynamical Memory System Based on Chaotic Neural Networks. 538-541
• 
  Tomohiro Yokoo, Kenji Nagasaka: The Improvements of the Learning Vector Quantization Method. 542-545
• 
  Shinichi Yoshizawa, Shinji Doki, Shigeru Okuma: A New Vector Quantization Algorithm with Annealing Operation for Time-Varying Data. 546-549
• 
  Kikuo Fujimura, Heizo Tokutaka, Masumi Ishikawa: Modified Counter-Propagation Network. 550-553
• 
  Toshiyuki Tanaka: Estimation of Third-Order Correlations within Mean Field Approximation. 554-557

Hardware Implementation of Neural Networks

• 
  Wei Lu, Bingxue Shi, Zhijian Li: A Fuzzy Recognition Integrated Circuit. 558-561
• 
  Guoxing Li, Bingxue Shi: A Current Mode VLSI Neural Fuzzy Classifier for Unconstrained Handwritten Numeral Classification. 562-565
• 
  Oh Jun Kwon, Sung Yang Bang: A Unified Design Method which Generates a Fault Tolerant MLP while Minimizing the Quantization Effects. 566-569
• 
  Sei Takahashi, Hiroshi Hakoda, Yoshifumi Sekine: Temporal Pattern Discrimination Using the Brain Mimic Processor. 570-573
• 
  Hideki Toda, Yuzo Hirai: Summation Characteristics of PDM Digital Neural Network System. 574-57
• 
  Seiji Kameda, Akira Honda, Tetsuya Yagi: An One-Dimensional analog Vision Chip System with Light-Adaptive Gain Control. 578-581
• 
  Souta Sakabayashi, Takashi Morie, Makoto Nagata, Atsushi Iwata: Nonlinear Function Generators and Chaotic Signal Generators Based on Pulse-Phase Modulation. 582-585
• 
  Hiroshi Ando, Takashi Morie, Makoto Nagata, Atsushi Iwata: Oscillator Networks for Image Segmentation and Their Circuits Using Pulse Modulation Method. 586-589

Keynote Lecture 2

• 
  Shun-ichi Amari: Information Geometry of Neuro-Manifolds. 591-593

Plenary Lecture 1

• 
  Erkki Oja: Signal Decomposition by Fast ICA. 594-602

Plenary Lecture 2

• 
  Okihide Hikosaka, Reiko Kawagoe, Yoriko Takikawa: Translation of Motivation into Action in the Basal Ganglia. 603-605

Dynamic Brain 3

• 
  Hubert R. Dinse, Oliver Schlüter, R. Leonhardt, H. Reinke, Werner von Seelen: Dynamics of Cortical Reorganization: Evidence for Task- and Modality-Specific Coding of Plasticity. 609-612
• 
  Hironori Matsuda, Takeshi Aihara, Masami Tatsuno, Minoru Tsukada: The Effect of Chaotic Stimulation to Induce Long-Term Potentiation in The Hippocampal CA1 Area. 613-616
• 
  Masami Tatsuno: Neuro-flow Dynamics and Model of Hippocampal LTP/LTD under Time-structured Stimuli. 617-620
• 
  Michael Stiber, Bosco Lau: Long-Term Potentiation and Synaptic Coding of Time-Varying Inputs. 621-624
• 
  Takeshi Aihara, Minoru Tsukada: Temporal-Pattern Dependent Spatial-Distribution of LTP and LTD in Hippocampal CA1 Area. 625-628

Selection and Optimization of Neural Architectures 1

• 
  Lei Xu: BKYY Three Layer Net Learning, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number. 631-634
• 
  Peter Géczy, Shiro Usui: Theoretical Concept of Network Pruning Based on Functional Convergence. 635-638
• 
  Wlodzislaw Duch, Rafal Adamczak: Statistical Methods for Construction of Neural Networks. 639-642
• 
  Ryotaro Kamimura: Structural Information Control to Improve Generalization. 643-646
• 
  Sangbong Park, Cheol Hoon Park: Empirical Study on Generalization of NN in Respect to Network Complexity. 647-650

Early Vision 2 and Self Organization

• 
  Kunihiko Fukushima, Kazuya Yoshimoto: Self-Organization of Shift-Invariant Receptive Fields through Pre- and Post-Synaptic Competition. 653-656
• 
  Kenji Okajima: "Complex Receptive Field" Obtained by Infomax Coincides with the Energy Model for Complex Cells in the Visual Cortex. 657-660
• 
  Shouji Sakamoto, Youichi Kobuchi: Self-Organization of Topographic Mappings from Cell Layer to Cell Layer through Generalized Hebb Rules. 661-664
• 
  Ferdinand Peper, Michael P. Stryker: Single-Neuron Hebb Learning Dynamics in the Presence of Inhibitory Autapses. 665-668
• 
  Martin Stetter, Péter Adorján, Hauke Bartsch, Klaus Obermayer: Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. 669-672

Distributed Processing Systems 2

• 
  Shotaro Akaho: Statistical Learning in Optimization: Gaussian Modeling for Population Search. 675-678
• 
  Shuichi Kurogi, Akira Ikushima, Shougang Ren: Neuro-controllers Using Competitive Associative Nets Requiring Neither Parameterization of Plants Nor Special Training. 679-682
• 
  Shuichi Kurogi, T. Sakamoto, Shougang Ren: An Analysis of Competitive Associative Nets. 683-686
• 
  Nikhil R. Pal, Kallol Banerjee, Yoichi Hayashi: SUM-PI Network: A New Multilayered Feed-Forward Network. 687-690
• 
  Steven Phillips: A Comparison of Learning Transfer in Networks and Humans. 691-694
• 
  Daijin Kim, Sunha Ahn: Two Co-adaptation Schemes of Evolution and Learning for an Optimal VQ Codebook. 695-699

Other Applications

• 
  Kuhu Pal, Nikhil R. Pal: Modeling Dehydriding Behavior of Hydrogen Storage Materials with Neural Networks. 703-706
• 
  Toru Watanabe, Satoru Kishida, Tadaaki Kawai, Kennei Ishihara, Heizo Tokutaka, Sei Fukushima: Smoothing of Chemical Analysis Data by Neural Networks. 707-709
• 
  Muhammad Tariq Amin Chaudhary: Structural Analysis of Multi-Storey Frames Through Neural Network. 710-712
• 
  Lars Kindermann: Computing Iterative Roots with Neural Networks. 713-715
• 
  JeongYon Shim, Chong-Sun Hwang: Medical Diagnosis Using Hierarchical Structured Selective NeuroFuzzy System. 716-719
• 
  Ikuko Motoike, Kenichi Yoshikawa: Logic Operation on an Excitable Field. 720-722

Independent Component Analysis and Related Problems 1

• 
  Erkki Oja: The Nonlinear PCA Approach to ICA. 725-728
• 
  Andrzej Cichocki, Liqing Zhang: Two-stage Blind Deconvolution Using State-space Models. 729-732
• 
  Yujiro Inouye, Shuichi Ohno: Adaptive Algorithms for Implementing the Single-Stage Criterion for Multichannel Blind Deconvolution. 733-736
• 
  Shiro Ikeda, Noburo Murata: A Method of Blind Separation Based on Temporal Structure of Signals. 737-742
• 
  Mitsuru Kawamoto, Allan Kardec Barros, Ali Mansour, Kiyotoshi Matsuoka, Noboru Ohnishi: Blind Separation for Convolutive Mixtures of Non-stationary Signals. 743-746

Soft Computing & Optimization & Learning

• 
  Mikio Hasegawa, Tohru Ikeguchi, Kazuyuki Aihara: Harnessing of Chaotic Dynamics for Solving Combinatorial Optimization Problems. 749-752
• 
  Michifumi Yoshioka, Sigeru Omatu: Signal Separation Method Using Independent Component Analysis. 753-756
• 
  Koichiro Yamauchi, Naohiro Ishii: Combination of Fast and Slow Learning Methods for Fast Adaptation and Pruning of Redundant Cells. 757-760
• 
  Koichiro Yamauchi, Toshie Imai, Naohiro Ishii: An Incremental Learning Method of GRBF with Re-Generation of Input Patterns - Application for Case Based Reasoning Systems. 761-766
• 
  Masahiro Nagamatu, Torao Yanaru: Parallel State Space Search for SAT with Lagrange Programming Neural Network. 767-770
• 
  Itaru Nagayama, Masateru Kudaka, Tomio Takara: High Performance Recognition of Pathology Objects by Using Evolutionary Self Growing Network. 771-774

Dynamic Brain 4

• 
  Péter Érdi, Ádám Kepecs, Máté Lengyel, Klaus Obermayer, Zoltán Szatmáry: Dynamics of the Hippocampus: Multiple Strategies. 777-780
• 
  Yoko Yamaguchi, Bruce L. McNaughton: Non-Linear Dynamics Generating Theta Phase Precession in Hippocampal Closed Circuit and Generation of Episodic Memory. 781-784
• 
  Guy Sandner: Some Theoretical Animal Associative Learning Questions and Their Relevance for the Modelization of Some Aspects of Psychotic States in Humans. 785-786
• 
  Fanji Gu, Fang Chen, Jinghua Xu: Dynamic Representations of Mutual Information Transmission in Human Brains Doing Mental Tasks. 787-790

Selection and Optimization of Neural Architectures 2

• 
  Michael J. Watts, Nikola K. Kasabov: Genetic Algorithms for the Design of Fuzzy Neural Networks. 793-796
• 
  Hamid Bolouri, Rod Adams, Stella J. George, Alistair G. Rust: Molecular Self-Organization in the Development Model for the Evolution of Large-scale Artificial Neural Networks. 797-800
• 
  David K. Y. Chiu, Mike Y. W. Leung: Evaluating Input Dependency in a Feedforward Neural Network. 801-804
• 
  Nick K. Treadgold, Tamás D. Gedeon: Adaptive Regularization in a Constructive Cascade Network. 805-808
• 
  Damminda Alahakoon, Saman K. Halgamuge, Bala Srinivasan: A Structure Adapting Feature Map for Optimal Cluster Representation. 809-812

Early Vision 3

• 
  Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, Joseph Sirosh: A Self-Organizing Neural Network Model of the Primary Visual Cortex. 815-818
• 
  Aike Guo, Haijian Sun, Lin Liu: Knowledge-Dependent Perceptual Grouping. 819-822
• 
  Nicolangelo Iannella, Abdesselam Bouzerdoum, Shigeru Tanaka: From Receptive Field to Connection Strengths. 823-826
• 
  Ko Sakai, Shigeru Tanaka: Perception of Global Orientation: Phychophysical and Computational Analysis on Tilt Illusion. 827-830
• 
  Takashi Sakamoto, Toshikazu Kato: Lateral Inhibition Model Taken Account of the Duality of Receptive Fields and Its Behavior for RGB Inputs. 831-834

Reinforcement Learning 2

• 
  Ahmet Onat, Hajime Kita, Yoshikazu Nishikawa: Q-Learning with Recurrent Neural Networks as a Controller for the Inverted Pendulum Problem. 837-840
• 
  Taku Yoshioka, Shin Ishii, Minoru Ito: Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning. 841-844
• 
  Cheng-Yuan Liou, Chung-Hao Tan, Hwann-Tzong Chen, Jiun-Hung Chen: Agents that have Desires and Adaptive Behaviors. 845-849
• 
  Jun Morimoto, Kenji Doya: Hierarchical Reinforcement Learning of Low-Dimensional Subgoals and High-Dimensional Trajectories. 850-853
• 
  Suk-Joon Kim, Byoung-Tak Zhang: Active Data Partitioning for Building Mixture Models. 854-857

Sensory Motor Integration

• 
  Hiromichi Nakashima, Noboru Ohnishi: Learning Sound Source Localization by Interaction between Motion and Sensing - In a Non-Linear Motor System. 861-854
• 
  Taro Maeda, Susumu Tachi: A Consideration of Perceptual-Motor Coordination with Active and Passive Movements. 865-868
• 
  Jae-Moon Chung, Noboru Ohnishi: Self Development of Hand-Eye Coordination for Robotic Grasping via "Learn-by-Doing". 869-872
• 
  Naohiro Fukumura, Shigenao Otane, Yoji Uno, Ryoji Suzuki: A Neural Network Model for Extracting Correlated Information in Sensory Integration. 873-876
• 
  Lei Xu: Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach: (V) Temporal Modeling for Temporal Perception and Control. 877-884

Independent Component Analysis and Related Problems 2

• 
  Harold Szu, Charles Hsu, Takeshi Yamakawa: Progress in Unsupervised Neural Nets for Blind Communication De-Mixing. 887-890
• 
  Michifumi Yoshioka, Sigeru Omatu: Signal Separation Method Using Independent Component Analysis. 891-894
• 
  Kimmo Kiviluoto, Erkki Oja: Independent Component Analysis for Parallel Financial Time Series. 895-898
• 
  Ali Mansour, Allan Kardec Barros, Noboru Ohnishi: Comparison among Three Estimators for High Order Statistics. 899-902
• 
  Yiu-ming Cheung, Lei Xu: Rival Penalized Competitive Learning Based Separator on Binary Sources Separation. 903-906

Knowledge & Rule Extraction

• 
  Marylin L. Vaughn, E. Ong, Steven J. Cavill: Direct Rule Extraction from a MLP Network that Performs Whole Life Assurance Risk Assessment. 909-914
• 
  Koji Oguri, Akira Iwata: A Mathematical Investigation for Oligosaccharide Analysis Using Neural Network for Better Diagnosis. 915-918
• 
  Tomasz Pelc: A Formal Model of an Artificial Neural Network Used to Store and Recognize the Semantics of Some Sentences of Natural Language. 919-922
• 
  Kaori Yoshida, Toshikazu Kato, Torao Yanaru: A Model for Emotional Aspects on Visual Art Works. 923-926
• 
  Guang-Seng Khoo, Wai Cheong Yeong: Data Mining Using AI Techniques to Enhance Decision-Making and Investments in the Capital Markets. 927-930
• 
  Youshou Wu, Chi Fang, Xiaofan Lin, Xiaoqing Ding: Knowledge Extraction Based Multilayer Feedforward Neural Networks. 931-935

Poster Session 2: Mathematical Theory of Brain Functions

• 
  Yujian Li, Xiangdong Wang, Chuan Chen: Analysis of Orthogonal Memory Patterns. 939-942
• 
  Lipo Wang: Storage and Recall of Spatio-Temporal Sequences Using Any Multi-Associative Neural Networks. 943-946
• 
  Jinwen Ma: The Memory Capacity of Recurrent Neural Networks for Storing Spatio-Temporal Sequences. 947-950
• 
  Yuichi Sakumura, Kazuyuki Aihara: Stochastic Resonance by Modulation Detecting Neuron. 951-954
• 
  Yasuyuki Nakamura, A. Ryszard Ferchmin: Static Properties of a Neural Network Composed of Two Kinds of Neurons. 955-958
• 
  Osamu Araki, Kazuyuki Aihara: Emergent Synchronous Patterns in a Multilayer Neural Network. 959-962
• 
  Hirohumi Hirayama, Yoshimitsu Okita: A Method to Evaluate Associated Temporal Activity of a Neural Group Characterized by Different Activation Levels. 963-968
• 
  Ryoichi Wada, Shozo Sato, Kazutoshi Gohara: Fractal Structure of Linear Recurrent Neural Networks with Temporal Input. 969-972
• 
  Xiaochuan Pan, Yun-jiu Wang, Xiang-lin Qi: The Inhibition beyond the Receptive Field of Visual Cortical Neuron. 973-976
• 
  Yukifumi Sigematsu: Characteristics Improved by Noise in Pulse Neural Cell Model. 977-980
• 
  Mitsuo Takase: Plastic Effect of Feedback Connections to Memory Compression and Formation of Knowledge Structure Based on Hebb Rule and Inhibitory Cells. 981-986

Soft Computing & Optimization & Learning

• 
  So-Young Jeong, Minho Lee, Soo-Young Lee: Hybrid Learning Algorithm for Curvature Smoothing. 987-990
• 
  Masayuki Mochizuki, Haruyuki Minamitani: Learning Algorithm for Intermodular Connection Networks for Multimodular Associative Networks. 991-994
• 
  Manabu Kotani, Naoki Shiba, Kenzo Akazawa: Application of Evolved Neural Networks to Real World Task. 995-998
• 
  Shakeel Ismail, Masahiro Nagamatu, Torao Yanaru: Largrange Programming Neural Network for Wire Routing Problem. 999-1003
• 
  Itaru Nagayama, Hirotako Haneji, Tomio Takara: Reliability Estimation of Electrical Parts by Using Evolutionary Neural Computation. 1004-1007
• 
  Sang-Hoon Oh, Soo-Young Lee: Accelerating the Learning Speed of Multilayer Perceptrons with a New Error Function for Hidden Layer. 1008-1011

Prediction

• 
  Taeho C. Jo: Neural Approach to Time Series Prediction with Noise Addition. 1012-1015
• 
  Min Jang, Sungzoon Cho, Patrick M. Wong, Chun Che Fung, Kok Wai Wong: Rock Porosity Prediction Using Multilayer Perceptrons. 1016-1019
• 
  Takashi Matsumoto, Hiroaki Hamagishi, Junjiro Sugi, Motoki Saito: Chaotic Time Series Prediction via Hierarchical Bayesian Neural Net. 1020-1023
• 
  Alexandra I. Cristea, Toshio Okamoto: The Development of a Feedforward NN for Financial Time Series Forecasts. 1024-1027
• 
  Ralf Herrmann, Martin Kreidler, Detlef Seese, Kai Zabel: A Fuzzy-Hybrid Approach to Stock Trading. 1028-1032
• 
  Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville: Model Comparison for Monthly Forecasts of the CAC 40. 1033-1036
• 
  Taeho C. Jo: Forecasting Precipitation with Integrated and Separated pattern Generation Using Virtual Terms for MLP Training. 1037-1040
• 
  Yutao Wang, Jianchang Zhou, Shi Wang: Neural Network for Time series Prediction and Its Application. 1041-1044
• 
  Zhaoyun Shi, Yoshiyasu Tamura, Tohru Ozaki: RBF Neural Network is more Suitable for Function Approximating than Modeling in Nonlinear Time Series Analysis. 1045-1048
• 
  Ho Yin Kwok, Chi-Ming Chen, Lei Xu: Comparison between Mixture of ARMA and Mixture of AR Model with Application to Time Series Forecasting. 1049-1052

Image Processing

• 
  Koji Miyazaki, Hirotaka Nakayama: Facial Expression Synthesis by Caricature. 1053-1056
• 
  Tetsuya Takaoka, Masanori Izumida, Kenji Murakami: A Study of the ART1 Classification Method without Depending on the Presentation Order of Patterns. 1057-1060
• 
  Bing Zhang, Mehdi N. Shirazi, Hideki Noda: A Robust Segmentation Algorithm for the MRF Texture Images and Its Implementation by a Neural Circuitry. 1061-1064
• 
  Ponnuthurai N. Suganthan, Nikhil R. Pal: Pattern Classification Using Multiple SOMs. 1065-1068
• 
  Satoshi Mistuyama, Jun Motoike, Hitoshi Matsuo: Adaptive Classification of Untypical Urinary Sediment Images Using Feedback Learning. 1069-1072
• 
  Kouji Tanaka, Tatsuya Sekiguchi, Kumiko Kawamoto, Masahiro Okamoto: Recognition System of Pattern Similarity in Time Series Signals Using Neural Network being Composed of "Biochemical Neurons". 1073-1077
• 
  Tomonori Hayashi, Kenji Nagasaka: Gray Scale Picture Transform into Binary Picture by Hopfield Neural Network. 1078-1081
• 
  Masashi Nakamura, Syusaku Kodama, Noboru Kitamura, Masayoshi Umeno: Vision Supporting System for Car Driver using Neural Network. 1082-1085

Pattern Recognition

• 
  Shuichi Kurogi, Takeshi Nishida, Shougang Ren: Recognition of Hand-Written Characters by a Multi-Layered Competitive Net. 1086-1089
• 
  Mingsheng Zhao, Youshou Wu: Printed Chinese Optical Character Recognition by Neural Network. 1090-1093
• 
  Yasuomi Inooka, Minoru Fukumi, Norio Akamatsu: Numeral Recognition Using a Multi Neural Network Model. 1094-1097
• 
  Itaru Nagayama: An Approach to Free Viewpoint Character Recognition by Using Modular Neural Network. 1098-1101

Robotics & Control

• 
  K. Nabeshima, K. Inoue, K. Kudo, K. Suzuki: Early Fault Detection for Nuclear Power Plant Using Recurrent Neural Network. 1102-1105
• 
  Ranajit Chatterjee, Fumitoshi Matsuno: Autonomus Navigation of Mobile Robots using Neural Nets with Single Sided Reflex. 1106-1109
• 
  Sigeru Omatu, Yoshiyuki Kishida, Michifumi Yoshioka: Self Tuning Neuro-PID for SIMO Systems. 1110-1113
• 
  Satoshi Yamaguchi, Hidekiyo Itakura: Inverse Modeling of a Mobile Robot Using Feedback Error Learning. 1114-1117

Other Applications

• 
  Petri Salmela, Mikko Lehtokangas, Jukka Saarinen: Noisy Digit Recognition with MLP and HMMS Using Modified Cost Function in MCE Training. 1118-1121
• 
  Kazuyuki Iwamoto, Heizo Tokutaka, Kazuhiro Yoshihara, Kikuo Fujimura, Toru Watanabe, Satoru Kishida: Application of SOM to Quantitative Chemical Data Analysis. 1122-1125
• 
  Monica Bianchini, Stefano Fanelli, Marco Gori: An Application of ELISA to Perfect Hashing with Deterministic Ordering. 1126-1129
• 
  Steven J. Cavill, Marylin L. Vaughn, Stewart J. Taylor, Michael A. Foy, Anthony J. B. Fogg: Interpretation and Knowledge Discovery from the MLP Network that Performs Low Back Pain Classification. 1130-1133
• 
  Xu Wei, Zhu Xiaoyan: A New Model of Recurrent Neural Networks for Speech Recognition. 1134-1137
• 
  Minoru Motoki, Yoshio Shimazu: Connectionist Parser for Japanese sentence with Embedded Clauses. 1138-1140
• 
  Nobusuke Sasaki, Yasuji Sawada: Neural Networks for Tsume-Go Problems. 1141-1144
• 
  Takehiko Ogawa, Yukio Kosugi, Hajime Kanada: Bispectrum Estimation by Recurrent Network with Third-Order Moment Controllable Noise Source. 1145-1148
• 
  Koji Akatsuka, Hiroshi Tsujino: Evaluation of the PCA Encoding Ability in Speech Recognition. 1149-1152
• 
  Jae-Hoon Jeong, Soo-Young Lee: Speaker Adaptation Based on Spectral Transformation with Limited Adaptation Words. 1153-1156
• 
  Yugi Yata, Heizo Tokutaka, Kikuo Fujimura: Learning of Simple Oscillating Wave Form by Adaptive Subspace SOM. 1157-1159
• 
  H. Elfawal-Mansour, D. Georges, G. Bornard: Identification of a Real Open-Channel Irrigation System Using a Neural Network Model. 1160-1163
• 
  Hiroki Aoki, Toshimichi Saito: A SOM with Virtual Connection and Its Application to Fuzzy Systems. 1164-1167
• 
  Juan Moreno García, Gabriel Sebastián, Miguel Angel Fernández, Antonio Fernández-Caballero: A Telephone Number Corrector Using a Counterpropagation Network. 1168-1171
• 
  Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka: New and Used Bills Classification Using Competitive Neural Network Based on Cepstrum Pattern. 1172-1175

Plenary Lecture 3

• 
  Mitsuo Kawato: Multiple Paired Forward-Inverse Models in the Cerebellum. 1177-1180

Special Panel Session 2

• 
  Yasuji Sawada, Hideki Kawahara: Brain Creators: Japanese Initiative to Create Computational Models of Brain Functions. 1193-1184
• 
  Gen Matsumoto: The Brain and Brainway Computer. 1185-1189

Dynamic Brain 5

• 
  E. Bauswein, V. Stuphorn, K.-P. Hoffmann: Oculocentrically Organized Arm Movement-Related Activity in the Primate Superior Colliculus. 1193-1195
• 
  Taishin Nomura, Makoto Kobayashi, Takakazu Nakashima, Shunsuke Sato: Phase-Dependent Walking Rhythm Reset and Bilateral Leg Coordination during Human Gait. 1196-1199
• 
  Xiang-lin Qi, Xiaochuan Pan, Yun-jiu Wang: Modelling the Functional Role of Integration Field of Visual Cortex Neurons. 1200-1203
• 
  Yun-jiu Wang, He Cui, Xiang-lin Qi: Initializing Receptive Field-Like Weights in BP Network. 1204-1207

Learning 1

• 
  Kazushi Umetsu, Toshimichi Saito: A Simple Data Selection Algorithm for RBF Networks and Its Application to Bifurcation Prediction. 1211-1214
• 
  Kazushi Ikeda, Seiji Miyoshi, Kenji Nakayama: Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies. 1215-1218
• 
  Sung-Kil Lim, Chan-Ho Park, Hyon-Soo Lee: A Constructive Neural Network using Adaptive Wavelet for Function Approximation. 1219-1223
• 
  Daqing Chen, Laiwan Chan: An Adaptive Learning Rate for Training Ring-Structured Recurrent Network. 1224-1227
• 
  Péter András: Neural Network Design Using Spectral Analysis. 1228-1231
• 
  Nikola K. Kasabov: ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm. 1232-1235

Neurobiological Basis of Brain Function 1

• 
  Kotaro Oka, Yoshichika Baba, Hiroto Ogawa: Dendritic Calcium Regulates Synaptic Plasticity in Insect Nervous System. 1239-1242
• 
  Roman R. Poznanski: Strong Coupling Can Reduce the Time-to-Peak of EEPSPs: A Substrate for Neural Synchronization. 1243-1247
• 
  Kim T. Blackwell, Keun-Hang Yang: Analog Pattern Matching in a Model of Dendritic Spines. 1248-1251
• 
  Takanobu Yamanobe, Khashayar Pakdaman, Taishin Nomura, Shunsuke Sato: The Response of Lobster Stretch Receptor Models to Single Pulses and Step Currents. 1252-1255
• 
  Yeongsu Jeong, S. Y. Kim: A Continuous LTP and LTD Model. 1256-1259

Single Neuron Model and Temporal Coding

• 
  Hidekazu Fukai, Yoshinobu Maeda, Khashayar Pakdaman, Taishin Nomura, Shunsuke Sato: Double Impulse Solutions in Reduced Hodgkin-Huxley Models. 1263-1266
• 
  Algis Garlauskas: Modeling of Synapse-Dendrite-Soma Computational Brain Functions. 1267-1272
• 
  Kazutaka Someya, Atsushi Fujita, Katsutoshi Saeki, Yoshifumi Sekine, Kazuyuki Aihara: Effects on an Active Feature on Neurodynamics and Chaotic Phenomena by Active Axon. 1273-1276
• 
  Wakako Hashimoto, Kazuyuki Aihara: Does a Spiking Neuron Operate Like a Radial Basis Function? 1277-1280
• 
  Ryoko Futami, Nozomu Hoshimiya: A Model of Neural Short-Term Memory for Time-coded Patterns. 1281-1284
• 
  Ken-ichi Amemori, Shin Ishii: Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information. 1285-1288

Attentive Vision

• 
  Luiz Pessoa, Sergio Exel, Alexandre Roque, Ana Leitao: Attentive Visual Recognition for Scene Exploration. 1291-1294
• 
  Ahmad F. Arif, Susumu Kuroyanagi, Akira Iwata: Attentional System for Pattern Recognition. 1295-1298
• 
  Thomas P. Trappenberg: Dynamic Cooperation and Competition in a Network of Spiking Neurons. 1299-1302
• 
  Masahiko Fujita, Kikumi Hoshi, Tomoari Seita: Asymmetry in Deviation of Rapid-Targeting Eye Movement under the Sensation of Visually Induced Illusory Self-Motion. 1303-1306
• 
  Gert J. van Tonder, Yoshimichi Ejima: Intermediate Level Shape Processing. 1307-1310
• 
  Masahide Nomura: A Comfortable Brain Interface to Video Display Terminals. 1311-1314

Neural Basis of Hearing - Towards New Experiments and Models of Auditory Processing

• 
  Roy D. Patterson: Auditory Images and a Computational Model. 1317-1321
• 
  Toshio Irino, Roy D. Patterson: The Gammachirp for Optimal Auditory Filtering. 1322-1326
• 
  Alain de Cheveigné: Time-Domain Processing in the Auditory System. 1327-1332
• 
  Makio Kashino: A Modulation Filter Bank as a Basis for Auditory Spectro-Temporal Analysis. 1333-1336

Prediction

• 
  Günther A. Hoffmann: Predicting Response times in the Internet with Radial Basis Functions. 1339-1342
• 
  Keihiro Ochiai, Noboru Sonehara: Precipitation Nowcast with Artificial Neural Networks. 1343-1346
• 
  Yoshinori Nakajima, Junjiro Sugi, Motoki Saito, Hiroaki Hamagishi, Takashi Matsumoto: A Hierarchical Bayes Algorithm for Air-Conditioning Load Prediction: Nonlinear Dynamics Approach. 1347-1350
• 
  Wai Ching Wong, Fung Yip, Lei Xu: Financial Prediction by Finite Mixture GARCH Model. 1351-1354
• 
  Florent Guhl, Bernard Bremond, Denis Gilbert: Drinking Water Demand Using an Hourly Timestep. 1355-1357

Dynamic Brain 6

• 
  Christoph E. Schreiner, Sarah W. Wong: Context-Dependent Excitation Bandwidth Changes in Cat Auditory Cortex. 1361-1363
• 
  Shin'ichiro Kanoh, Ryoko Futami, Nozomu Hoshimiya: Temporal Sequence Processing in Human Auditory System and Its Hardware Implementation. 1364-1367
• 
  Giulietta Pinato, Stefano Battiston, Vincent Torre: Neural Computation in the Leech Ganglion. 1368-1369
• 
  Masataka Watanabe, Kazuyuki Aihara: What Functional Connectivity Can Do: Software Driven Neural Networks. 1370-1373
• 
  Wolfram-Manfred Lippe: Advances in and Problems of the Implementation of Neural Algorithms on Specialized Hardware Platforms. 1374-1377

Learning 2

• 
  Peter Géczy, Shiro Usui: Theoretical Analysis and Classification of Training Problem in Neural Networks. 1381-1384
• 
  Mikko Lehtokangas: Fast Training with Maximum Covariance Initialized Centroid MLP. 1385-1388
• 
  Kazuyuki Hiraoka, Shuji Yoshizawa: Recalling of Many-Valued Functions by Successive Iteration on Bottleneck Networks. 1389-1392
• 
  Daqing Chen, Laiwan Chan: Training Recurrent Neural Networks by Using Parallel Recursive Prediction Error Algorithm. 1393-1396
• 
  Masa-aki Sato, Shin Ishii: On-Line EM Algorithm for Mixture of Local Experts. 1397-1401
• 
  Yen-Wei Chen, Xiang-Yan Zeng, Zensho Nakao: A Hybrid Neural Network Training Approach of Backpropagation and Genetic Algorithm for Classification of Remotely Sensed Images. 1402-1405

Neurobiological Basis of Brain Function 2

• 
  Byung Hoon Bae, Jung Mi Choi, Soo Young Kim: Noninvasive Measurement of Human Brain Activity using Brain-Conductivity Probe. 1409-1413
• 
  Ken'ichi Kamijo, Tomoharu Kiyuna, Toshimasa Yamazaki: Application of PDM Digital Neural Network System to Real-Time Brain Activity Source Localization. 1414-1417
• 
  Shuji Akiyama, Toshio Iijima: A Neuro-Network Processing to Recognize Functional Regions from Distributed Neural Activities. 1418-1421
• 
  Hiroaki Okamoto, Susuma Kawakami, Hide-aki Saito, Eiki Hida, Keiichi Odajima, Daichi Tamanoi, Hiroshi Ohno: Physiological Validation of Bimodal Direction Tunings Predicted by a Motion Detection Model in Area MT of Monkey. 1422-1425
• 
  Y. Yamaguchi, Y. Kanzaka, F. Tanaka, J. Horikawa, I. Taniguchi: Bifurcation of Wave Propagation as a Base of Dynamical Linking in Auditory Recognition. 1426-1429

Non-Linear Dynamics and Associative Memory

• 
  Haruhiko Nishimura, Naofumi Katada, Kazuyuki Aihara: Resonance Phenomena in the Response of Chaotic Neural Networks. 1433-1436
• 
  Sangbaek Han, Soo Yong Kim, Dong-yu. Jeong: Informational Approach to Stochastic Resonance of the Artificial Neuron. 1437-1441
• 
  Gary Froyland, Kazuyuki Aihara: Statistical Analysis of a Randomly Stimulated Neuron. 1442-1445
• 
  Satoshi Morinaga, Shuji Yoshizawa: Control of Spurious Memories by Using Self-Coupling Weights. 1446-1449

Cognitive Mechanisms

• 
  Syozo Yasui, Toshiharu Watanabe, Hideaki Fujimura: Connectionist Abstraction for Machine Learning by Analogy. 1453-1458
• 
  Robert Hecht-Nielsen: A Theory of the Cerebral Cortex. 1459-1464
• 
  Hiroyuki Okada, Hiroshi Yamakawa, Takashi Omori: Neural Network Model for the Perseveration Behavior of Frontal Lobe Injured Patients. 1465-1469
• 
  Neil Davey, Ray J. Frank, Tim M. Gale, Stella J. George: A Neural Network Model of Visual Object Recognition Impairments after Brain Damage. 1470-1473
• 
  Norman D. Cook, Takefumi Hayashi: Activation of Verbal Labels on Bilateral Self-Organized Maps. 1474-1477

Neural Basis of Hearing - Towards new Experiments and Models of Auditory Processing

• 
  Hirishi Riquimaroux: Time Information in the Auditory System: Frequency, Amplitude, Macro and Micro. 1481-1484
• 
  Neil P. McAngus Todd, D. J. O'Boyle, C. S. Lee: A Sensory-Motor Theory of Rhythm and Timing in Music and Speech. 1485-1489
• 
  J. Devin McAuley, Mari Riess Jones: The Role of Rhythm in Attending to Auditory Patterns. 1490-1493

Distributed Processing Systems 3

• 
  Romulo M. de Menezes, Gerson Zaverucha, Valmir C. Barbosa: A Penalty-Function Approach to Rule Extraction from Knowledge-Based Neural Networks. 1497-1500
• 
  Ryotaro Kamimura: Integrated Information Processors with Multi-functional Components. 1501-1506
• 
  Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avila Garcez: Inducing Relational Concepts with Neural Networks via the LINUS System. 1507-1510

Poster Session 3: Neuro-biological Basis of Brain Functions

• 
  Tatsuo Kitajima, Ken-ichi Hara: Roles of Back-Propagating Action Potential in Synaptic Modifications. 1513-1516
• 
  Hiroshi Okamoto, Kazuhisa Ichikawa: A Model for Synaptic Competition for a Finite Resource. 1517-1520
• 
  Toshihiro Aoyama, Yoshimi Kamiyama, Shiro Usui, Roman Blanco, Pedro de la Villa, Cecilia F. Vaquero: Ionic Current Model of Rabbit Retinal Horizontal Cell. 1521-1524
• 
  Nicolas Schweighofer, Kenji Doya, Mitsuo Kawato: A Model of the Electrophysiological Properties of the Inferior Olive Neurons. 1525-1528
• 
  Yuki Kobayashi, Takeshi Aihara, Hironori Matsuda, Hiroshi Sasaki, Minoru Tsukada: Spatial Distribution of LTP and LTD Simultaneously Induced by Temporal-Pattern Stimuli in Hippocampal CA1 Area. 1529-1532
• 
  Katsumi Tateno, Hatsuo Hayashi, Satoru Ishizuka: Spontaneous Spatiotemporal Activity of a Hippocampal CA3 Network Model Which Depends on the Connectivity. 1533-1536
• 
  Kiyohisa Natsume, Kaoru Kometani: Desynchronization of Theta-Like Activity in Guinea-Pig Hippocampal Slices. 1537-1540
• 
  Koushi Nakashima, Hatsuo Hayashi, Satoru Ishizuka: A Local Area where Polysynaptic LTP is Induced in Longitudinal Rat Hippocampal CA3 Slices is Highly Responsive to Weak Stimulation. 1541-1546
• 
  Jun Yamamoto, Mizuki Okanda, Hiroshi Sasaki, Minoru Tsukada, Yuichiro Anzai: The Effect of Hippocampal Activity to Auditory Evoked Responses in Guinea Pig Revealed by Optical Imaging. 1547-1550
• 
  Eiki Hida, Hide-aki Saito, Hiroshi Ohno, Keiichi Odajima, Daichi Tamanoi: Neural Correlate for the Perception of Two-Directional Transparent Visual Flow. 1551-1554
• 
  Susumu Takahashi, Jun Yamamoto, Yuichiro Anzai: Visualization Tools for Firing Correlation Based on the Joint-PSTH. 1555-1558
• 
  Hideyuki Suzuki, Kazuyuki Aihara, Jun Murakami, Tateo Shimozawa: An Application of ISI Reconstruction to Sensory Neurons of Crickets. 1559-1562
• 
  Takashi Tateno, Yasuhiko Jimbo, Akio Kawana: Characterizing the Spontaneous Activity in Developing Networks of Cultured Rat Cortical Neurons. 1563-1566

Learning

• 
  Mikko Lehtokangas: On Training of MLP with Adaptive Neuron Specific Preprocessing Units. 1567-1570
• 
  Mikko Lehtokangas: Initialization of MLP with Adaptive Neuron Specific Preprocessing Units. 1571-1574
• 
  Yan Shi, Masaharu Mizumoto, Peng Shi: On Designing of Learning Rates in the Neuro-Fuzzy Learning Algorithm. 1575-1578
• 
  Nobuyuki Matsui, Koichi Fujiwara, Teijiro Isokawa: A Neural Network Model Based on BP Learning with Stochastic Resonance. 1579-1582
• 
  Mahdad Nouri Shirazi, Hideki Noda, Ikuo Yonemoto, Hidefumi Sawai: A Growing Algorithm for Training of RBF Density Estimation Network. 1583-1586
• 
  Yoshihiro Hayakawa, Yasuji Sawada: Local Feature Learning Algorithm for High Speed Learning. 1587-1590
• 
  Marghny H. Mohamed, Akito Ohkubo, Teruya Minamoto, Koichi Niijima: Learning of Three Layer Neural Networks Based on Domains of Attraction. 1591-1594
• 
  Hiroshi Shiratsuchi, Hiromu Gotanda, Katsuhiro Inoue, Kousuke Kumamaru: A Study on Initialization for BP Networks. 1595-1599
• 
  Phil D. Picton: Training a Fuzzy Classifier Using Back-Propagation. 1600-1603
• 
  Koji Okuhara, Shunji Osaki: Elimination of Redundant Neurons by Competitive Radial Basis Function Networks. 1604-1607
• 
  Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba: Design of Modular Neural Network Architectures Using Genetic Algorithms. 1608-1611
• 
  Peter Géczy, Shiro Usui: Deterministic Approach to Dynamic Sample Selection. 1612-1615
• 
  Chan-Ho Park, Hyon-Soo Lee: Self-Organized Supervised Learning with Local Projection and Pattern Clustering. 1616-1621
• 
  Kanad Keeni, Kenji Nakayama, Hiroshi Shimodaira: Automatic Generation of Initial Weights and Target Outputs of Multilayer Neural Networks and Its Application to Pattern Classification. 1622-1625

Distributed Processing Systems

• 
  Xiang Yu, Masumi Ishikawa, Huisheng Chi: Rule Extraction from Data by Combining a Structural Learning with Forgetting and Linear Discriminant Functions. 1626-1629
• 
  Chi Fang, Mingsheng Zhao, Youshou Wu, Xiaoqing Ding: Construct H-MFNN by Complexity Reduction Approach. 1630-1633
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  Algis Garliauskas: Control Distributed Parameter Systems with Neural Network Based on Orthogonality. 1634-1636
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  Francesco E. Lauria, R. Prevete, M. Milo, S. Visco: A Boolean Neural Network as a Rule Based System Learning New Rules by Examples. 1637-1642
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  Peng Shi, El Kebir Boukas, Yan Shi, Ramesh K. Agarwal: Disturbance Attenuation for Systems Governed by Markov Decision Processes. 1643-1646
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  C. Yalçin Kaya, Peng Shi, Yan Shi: Kalman Filtering Design for Nonlinear Systems with Parametric Uncertainties. 1647-1650
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  Seiji Ishihara, Takashi Nagano: A Modular Type Network for Incremental Learning. 1651-1654
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  Frederic Hamel, Hefin Rowlands: S-Fuzzy ART, Adaptation of Fuzzy ART to Non-Parallel Systems. 1655-1658
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  Ingrid Anderson, Kazunori Miyamoto, Torao Yanaru: Event Sequence Data Mining in Temporal Databases. 1659-1661
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  Toshiki Kindo, Hideyuki Yoshida, Taisuke Watanabe: Personal Information Filtering System - An Application of Associative Memory. 1662-1665
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  Teresa Bernarda Ludermir, Wilson Rosa de Oliveira: Extracting Rules from Boolean Neural Networks. 1666-1669
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  Zhenquan Li, Masahiro Nishikawa, Akira Ichikawa: The Choices of Weights and Biases of Fuzzy Neural Networks Based on Fuzzy Number Operations. 1670-1673